Elio CEO Oren Michaely recently contributed to HousingWire with the second article in a series examining how artificial intelligence could reshape the way mortgage companies operate.
In the article, Oren examines a longstanding challenge for the mortgage brokerage model. The ability to offer borrowers more lenders, products and pricing options is one of the channel’s greatest strengths, but the operating structure underneath it has not necessarily evolved to manage that optionality efficiently at scale.
A single loan can pass between a loan officer, assistant, disclosure desk, processor, underwriter and closer, with each handoff creating another opportunity for information and context to get lost. As brokerages grow, the traditional response has been to add more people and operational support, which can introduce even more communication, coordination and management responsibilities.
AI creates an opportunity to rethink that structure. Instead of organizing mortgage operations around narrowly defined roles and using technology to make each person more efficient, Oren argues that brokerages can start with the loan itself. By maintaining a common understanding of the loan as new information enters the process, technology can help determine what needs to happen next, coordinate or execute appropriate tasks and bring in human expertise and judgment when needed.
This approach could allow skilled mortgage professionals to take on broader responsibilities while reducing the handoffs and coordination work that make growth increasingly complex. The goal is to preserve the choice and flexibility that make the brokerage model valuable while creating an operating structure that can deliver greater scale, predictability and efficiency.
Read Oren’s full article in HousingWire.
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